Sliding-Window Backlight Compensation for Uniform Display Brightness
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Solution Overview
Problem
Existing display technologies face challenges in efficiently managing backlight luminance control in large-sized and high-brightness display apparatuses, particularly in maintaining uniform brightness and reducing power consumption through localized dimming techniques.
Innovation Solution
A data processing method and apparatus that utilizes a sliding window approach to sample and store backlight data subsets in separate storage spaces, calculating compensation coefficients for pixels based on these subsets to optimize backlight unit control, thereby improving brightness uniformity and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If local dimming technique is used to control brightness in partitioned manner, then brightness uniformity is improved, but power consumption increases due to additional control complexity
Solution Approach 1:
The patent divides the backlight module into multiple independently controllable backlight units, each corresponding to specific pixel regions. This segmentation enables localized brightness control where only certain backlight units are adjusted to achieve uniformity, rather than controlling the entire backlight module, thereby reducing overall power consumption.
Solution Approach 2:
The patent applies different brightness control strategies to different spatial regions of the display. By calculating compensation coefficients specifically for pixels corresponding to particular backlight units, the system optimizes brightness uniformity locally without uniformly increasing power consumption across the entire display apparatus.
2Illumination intensity
If compensation coefficients are calculated for all pixels, then brightness uniformity is improved, but data processing time increases
Solution Approach 1:
The patent extracts and processes only the necessary subset of pixel data corresponding to specific backlight units rather than processing all pixel data. By focusing computation on relevant pixels that require brightness compensation, the system achieves uniformity improvement while minimizing data processing time.
Solution Approach 2:
The patent performs preliminary sampling of backlight data using a sliding window approach to identify which backlight units require compensation before full processing. This preliminary action allows the system to prepare compensation coefficients efficiently, reducing the overall data processing time required for brightness uniformity correction.
3Productivity
If sliding window sampling is used to process backlight data, then data processing efficiency is improved, but memory storage requirements increase
Solution Approach 1:
The patent implements a dynamic sliding window mechanism that moves through the backlight data set, sampling only the current window portion rather than loading entire data sets into memory simultaneously. This dynamic approach allows efficient sequential processing of backlight data while maintaining moderate memory storage requirements through controlled data flow management.
Data Source
AI summary
A data processing method is applied to a display apparatus. A display panel in the display apparatus includes pixels, and a backlight module thereof includes backlight units each corresponding to a position of one or more pixels. The method includes: in an (N−1)-th sliding window period, sampling a backlight data set, and storing an obtained N-th backlight data subset, the backlight data set including first backlight values of at least one row of backlight units, the at least one row of backlight units including an M-th roe of backlight units; and in an N-th sliding window period, sampling the backlight data set, storing an obtained (N+1)-th backlight data subset, and calculating a compensation coefficient of at least one pixel, in pixels corresponding to the M-th row of backlight units, that corresponds to the N-th backlight data subset according to the N-th backlight data subset.